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Shuwen Wang

Researcher at Washington State University

Publications -  34
Citations -  3113

Shuwen Wang is an academic researcher from Washington State University. The author has contributed to research in topics: Telomerase reverse transcriptase & Telomerase. The author has an hindex of 18, co-authored 34 publications receiving 2939 citations. Previous affiliations of Shuwen Wang include Washington State University Spokane & Pennsylvania State University.

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Purification and cloning of amyloid precursor protein beta-secretase from human brain.

TL;DR: A membrane-bound enzyme activity that cleaves full-length APP at the β-secretase cleavage site is described and found to be the predominant β-cleavage activity in human brain, and it is found that human brain β- secretase is a new membrane- bound aspartic proteinase.
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A combinatory strategy for detection of live CTCs using microfiltration and a new telomerase-selective adenovirus

TL;DR: In this article, a new class of recombinant adenovirus containing regulatory elements that repress the telomerase gene (hTERT) gene in normal cells was reported, which showed better selectivity for replication in cancer cells than in normal ones.
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CORRIGENDUM: Separable Bilayer Microfiltration Device for Viable Label-free Enrichment of Circulating Tumour Cells.

TL;DR: In this paper, a separable Bilayer Microfiltration Device for Viable Label-free Enrichment of Circulating Tumour Cells was proposed for transplanting cancer cells.
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Separable Bilayer Microfiltration Device for Viable Label-free Enrichment of Circulating Tumour Cells

TL;DR: The preliminary studies reflect the efficacy of the SB microfilter device to efficiently and reliably enrich viable CTCs in animal model studies, constituting an exciting technology for new insights in cancer research.
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A New positive/negative selection scheme for precise BAC recombineering

TL;DR: A new selection scheme of BAC recombineering that worked as efficiently as the previously reported galK method and provided a faster and more cost-effective alternative to the galK methods.